AI Article Synopsis
- The study examines registered nurses' opinions on the facilitators and barriers to adopting AI in nursing within Saudi Arabia, highlighting the need for frontline perspectives to ensure effective implementation.
- Key facilitators identified include perceived patient care benefits, strong support from organizations, and comprehensive training, while barriers involve technical issues, ethical concerns about privacy, and fears of job loss.
- The research led to the development of the Technology Acceptance Model for AI in Nursing (TAM-AIN), which emphasizes a holistic approach to AI integration in nursing by addressing various challenges and focusing on nurse-centered strategies.
Article Abstract
Background: Integrating Artificial Intelligence (AI) in nursing practice is revolutionising healthcare by enhancing clinical decision-making and patient care. However, the adoption of AI by registered nurses, especially in varied healthcare settings such as Saudi Arabia, remains underexplored. Understanding the facilitators and barriers from the perspective of frontline nurses is crucial for successful AI implementation.
Aim: This study aimed to explore registered nurses' perspectives on the facilitators and barriers to AI adoption in nursing practice in Saudi Arabia and to propose an extended Technology Acceptance Model for AI in Nursing (TAM-AIN).
Methods: A qualitative study utilising focus group discussions was conducted with 48 registered nurses from four major healthcare facilities in Al-Kharj, Saudi Arabia. Thematic analysis, guided by the Technology Acceptance Model framework, was employed to analyse the data.
Results: Key facilitators of AI adoption included perceived benefits to patient care (85%), strong organisational support (70%), and comprehensive training programs (75%). Primary barriers involved technical challenges (60%), ethical concerns regarding patient privacy (55%), and fears of job displacement (45%). These findings led to the development of TAM-AIN, an extended model that incorporates additional constructs such as ethical alignment, organisational readiness, and perceived threats to professional autonomy.
Conclusions: AI adoption in nursing practice requires a holistic approach that addresses technical, educational, ethical, and organisational challenges. The proposed TAM-AIN offers a comprehensive framework for optimising AI integration into nursing practice, emphasising the importance of nurse-centred implementation strategies. This model provides healthcare institutions and policymakers with a robust tool to facilitate successful AI adoption and enhance patient outcomes.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11654280 | PMC |
| http://dx.doi.org/10.1186/s12912-024-02571-y | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Corrigendum to "Work Interruption Experienced by Nurses during Medication Administration Process and Associated Factors, Northwest Ethiopia".
Nurs Res Pract
September 2019
Department of Nursing, University of Gondar College of Medicine and Health Science, Gondar, Ethiopia.
[This corrects the article DOI: 10.1155/2017/8937490.].
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!